Trusted Threat Intelligence Sharing in Practice and Performance Benchmarking through the Hyperledger Fabric Platform

Historically, threat information sharing has relied on manual modelling and centralised network systems, which can be inefficient, insecure, and prone to errors. Alternatively, private blockchains are now widely used to address these issues and improve overall organisational security. An organisation’s vulnerabilities to attacks might change over time. It is utterly important to find a balance among a current threat, the potential countermeasures, their consequences and costs, and the estimation of the overall risk that this provides to the organisation. For enhancing organisational security and automation, applying threat intelligence technology is critical for detecting, classifying, analysing, and sharing new cyberattack tactics. Trusted partner organisations can then share newly identified threats to improve their defensive capabilities against unknown attacks. On this basis, organisations can help reduce the risk of a cyberattack by providing access to past and current cybersecurity events through blockchain smart contracts and the Interplanetary File System (IPFS). The suggested combination of technologies can make organisational systems more reliable and secure, improving system automation and data quality. This paper outlines a privacy-preserving mechanism for threat information sharing in a trusted way. It proposes a reliable and secure architecture for data automation, quality, and traceability based on the Hyperledger Fabric private-permissioned distributed ledger technology and the MITRE ATT&CK threat intelligence framework. This methodology can also be applied to combat intellectual property theft and industrial espionage.     

不同奖惩机制下智慧城市信息安全服务质量监管的演化博弈分析

智慧城市建设背景下各类组织的信息安全服务需求逐步提升。为提升政府应对智慧城市信息安全服务质量问题的监管效用,构建了由政府和智慧城市信息安全服务提供方组成的演化博弈模型。我们考虑了用户参与,并探讨了不同奖惩机制下的博弈演化策略。最后,借助Matlab2021b分析了最优机制下关键参数上限值提高对博弈主体策略选择概率的影响。分析结果表明:静态奖惩机制下的系统不存在稳定点,动态奖励与静态惩罚、动态奖励与动态惩罚、静态奖励与动态惩罚的系统存在稳定点,且动态奖励与静态惩罚相较于其他机制为更优机制。通过调控奖励上限值、惩罚上限值和用户反馈概率,从政府和用户两个角度提出了针对性的策略建议。     

光纤传感器对机敏复合材料结构性能的影响

本文通过实验研究了光纤传感器对埋光纤机敏复合材料机械性能的影响,详细分析了埋光纤机敏复合材料层板在外载作用下的应力分布,针对三种不同铺层方式,研究了六种树脂填充区对机敏复合材料层板应力集中的影响,得出了减小应力集中的有效方案。     

沥青路面典型裂缝湿度场数值模拟

为探究不同加载方式下沥青混合料的压实过程与集料运动特性,利用智能骨料进行静态压实和旋转压实试验测试;同时采用三维激光扫描设备以及图像处理技术构建具有真实形态特征的粗集料,建立沥青混合料压实过程的离散元模型,并借助智能骨料测试结果对模型进行准确性验证;最后,分析了沥青混合料内部集料运动和接触状况。结果表明,均匀增长的竖向压实载荷无法有效地使颗粒沿水平方向运动,在持续性的竖向载荷以及周期性的揉搓作用下,颗粒水平方向上的迁移和旋转能力得到激发,最终实现材料的致密化;在均匀增长的竖向压实载荷下,试件骨料-骨料间接触力较大,周期性的揉搓作用减轻了试件高压实阻力的形成,使其在后期获得更好的压实效果;靠近载荷作用区域的颗粒所受的运动更加激烈,主动压实区的颗粒运动活跃度大于被动压实区,而边缘区域的颗粒运动变异系数较高。